Senior Quantitative Analytics Specialist

3 weeks ago


Bengaluru, Karnataka, India WELLS FARGO BANK Full time
About this Role

Wells Fargo is seeking a highly skilled Senior Quantitative Analytics Specialist to join our team.

Key Responsibilities
  • Perform complex activities related to creation, implementation, and documentation of advanced analytics models.
  • Utilize statistical theory to quantify, analyze, and manage markets, forecasting losses and computing capital requirements.
  • Collaborate with business partners to develop, evaluate, implement, monitor, and execute models across business verticals.
  • Establish a consistent framework with the business and act as a primary point of contact in delivering solutions.
  • Review and validate models, improving their performance under the preview of banking regulations.
Requirements
  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Desired Qualifications
  • Experience in Quantitative Analytics and hands-on experience in Python, PySpark, SQL, and Google Cloud Platform (Vertex AI, Big Query, GCS) or equivalent in AWS, Azure.
  • Strong analytical skills and expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques.
  • Excellent verbal, written, and interpersonal communication skills and expertise in prioritizing and managing projects effectively.
What We Offer

At Wells Fargo, we value diversity, equity, and inclusion in the workplace, welcoming applications from all qualified candidates. We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and employee stock ownership plan (ESOP) matching.

We are an equal opportunity employer and welcome applications from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran, or any other status protected by applicable law.



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